1 /*
2 * Copyright (c) 2020 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/graph/nodes/DepthToSpaceLayerNode.h"
25
26 #include "arm_compute/core/Utils.h"
27 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
28 #include "arm_compute/graph/Graph.h"
29 #include "arm_compute/graph/INodeVisitor.h"
30
31 namespace arm_compute
32 {
33 namespace graph
34 {
DepthToSpaceLayerNode(int block_shape)35 DepthToSpaceLayerNode::DepthToSpaceLayerNode(int block_shape)
36 : _block_shape(block_shape)
37 {
38 _input_edges.resize(1, EmptyEdgeID);
39 _outputs.resize(1, NullTensorID);
40 }
41
block_shape() const42 int DepthToSpaceLayerNode::block_shape() const
43 {
44 return _block_shape;
45 }
46
compute_output_descriptor(const TensorDescriptor & input_descriptor,int block_shape)47 TensorDescriptor DepthToSpaceLayerNode::compute_output_descriptor(const TensorDescriptor &input_descriptor, int block_shape)
48 {
49 using namespace arm_compute::helpers::tensor_transform;
50
51 TensorShape input_shape = input_descriptor.shape;
52 DataLayout data_layout = input_descriptor.layout;
53
54 // Set descriptor shape
55 TensorDescriptor output_descriptor = input_descriptor;
56 output_descriptor.shape = misc::shape_calculator::compute_depth_to_space_shape(input_shape, data_layout, block_shape);
57
58 return output_descriptor;
59 }
60
forward_descriptors()61 bool DepthToSpaceLayerNode::forward_descriptors()
62 {
63 if((input_id(0) != NullTensorID) && (output_id(0) != NullTensorID))
64 {
65 Tensor *dst = output(0);
66 ARM_COMPUTE_ERROR_ON(dst == nullptr);
67 dst->desc() = configure_output(0);
68 return true;
69 }
70 return false;
71 }
72
configure_output(size_t idx) const73 TensorDescriptor DepthToSpaceLayerNode::configure_output(size_t idx) const
74 {
75 ARM_COMPUTE_UNUSED(idx);
76 ARM_COMPUTE_ERROR_ON(idx >= _outputs.size());
77
78 const Tensor *src = input(0);
79 ARM_COMPUTE_ERROR_ON(src == nullptr);
80
81 TensorDescriptor output_desc = src->desc();
82
83 return compute_output_descriptor(output_desc, _block_shape);
84 }
85
type() const86 NodeType DepthToSpaceLayerNode::type() const
87 {
88 return NodeType::DepthToSpaceLayer;
89 }
90
accept(INodeVisitor & v)91 void DepthToSpaceLayerNode::accept(INodeVisitor &v)
92 {
93 v.visit(*this);
94 }
95 } // namespace graph
96 } // namespace arm_compute
97